Advanced text analytics within pharmacogenomics and personalized medicine: I2E for NGS annotation
Next-generation sequencing (NGS) is increasingly being applied across the drug discovery and development pathway e.g. in target evaluation, patient stratification and clinical profiling.
However, biological interpretation of the output of NGS is highly time-consuming, being a mostly manual process of literature searching and annotation of the gene results.
This webinar will show how I2E can be used to collate a comprehensive gene profile, with key biological annotation from a combination of sources like MEDLINE, OMIM and NIH Grants.
Jane Reed, Head of Life Science Strategy, Linguamatics
Jim Dixon, Application Specialist, Linguamatics
Next dates to be announced
35 minutes including Q&A
During the session you will learn:
- How to extract the most up-to-date published knowledge for a gene profile, including information on diseases, pathways, tissues, mutations and more.
- How to use I2E’s ontologies, advanced linguistic analytics and pattern and rule-based approaches to extract detailed mutation and genetic information (e.g. single nucleotide polymorphisms (SNPs), copy number variants (CNVs), indels, nucleotide or amino acid substitutions).
- How I2E can link curated information from OMIM with published literature from MEDLINE, and forward-facing hypotheses from NIH Grants
Who should attend?
This webinar demonstrates some uses of I2E for gene annotation for Informaticians, Information Professionals, Researchers, Clinicians in Pharma, Biotech and Healthcare; with responsibility for:
- Gene-disease association research
- Target ID/Validation
- Personalised medicine
- Patient stratification
- Cohort selection
- Next Generation Sequence annotation